IXI CAT preprocessed data

The files include feature spaces derived from voxel-wise gray matter volumes from the IXI dataset (https://brain-development.org/ixi-dataset/). T1-weighted images were preprocessed using Computational Anatomy Toolbox (CAT) version 12.8 (https://neuro-jena.github.io/cat/) and normalized gray matter segments (linear and non-linearly modulated) were used to calculate features. First, a whole-brain mask was used to select 238,955 voxels. Then, smoothing (S) with either 4 or 8 mm FWHM Gaussian kernel and resampling (R) using linear interpolation to 4 or 8 mm spatial resolution was applied (S4_R4: 29,852 features and S4_R8: 3747 features). IXI data is made available under the Creative Commons CC BY-SA 4.0 International license. If you use these features/data please acknowledge the source of the IXI data i.e., https://brain-development.org/ixi-dataset/.

本数据集文件包含源自IXI数据集（https://brain-development.org/ixi-dataset/）体素水平灰质体积的特征空间。研究使用计算解剖学工具箱（Computational Anatomy Toolbox，CAT）12.8版对T1加权成像（T1-weighted images）进行预处理，并采用经线性与非线性调制的标准化灰质分段计算特征。首先通过全脑掩膜选取238955个体素；随后依次执行平滑与重采样操作：平滑处理采用半高全宽为4或8毫米的高斯核（记为S），重采样采用线性插值将图像转换至4或8毫米的空间分辨率（记为R），由此得到两组组合参数对应的特征集：S4_R4（含29852个特征）与S4_R8（含3747个特征）。IXI数据集依据知识共享署名-相同方式共享4.0国际许可协议（Creative Commons CC BY-SA 4.0 International）发布。若使用本数据集的特征或原始数据，请注明IXI数据集的来源，即https://brain-development.org/ixi-dataset/。